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» Two-Dimensional Linear Discriminant Analysis
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ICDAR
2007
IEEE
14 years 2 months ago
LDA-Based Compound Distance for Handwritten Chinese Character Recognition
In this paper, we propose a linear discriminant analysis (LDA)-based compound distance measure for discriminating similar characters in handwritten Chinese character recognition. ...
T.-F. Gao, C.-L. Liu
JMLR
2008
169views more  JMLR 2008»
13 years 8 months ago
Multi-class Discriminant Kernel Learning via Convex Programming
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
Jieping Ye, Shuiwang Ji, Jianhui Chen
ICMCS
2006
IEEE
160views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Selecting Kernel Eigenfaces for Face Recognition with One Training Sample Per Subject
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
Jie Wang, Konstantinos N. Plataniotis, Anastasios ...
DSVIS
2006
Springer
14 years 9 days ago
Analysis of Pointing Tasks on a White Board
We study the variations in two dimensional (2D) pointing tasks on a traditional white board of a group of subjects by means of capturing their movement traces in an automatic way w...
Giorgio P. Faconti, Mieke Massink
ICANN
2005
Springer
14 years 2 months ago
Discriminant Parallel Perceptrons
Parallel perceptrons (PPs), a novel approach to committee machine training requiring minimal communication between outputs and hidden units, allows the construction of efficient an...
Ana M. González, Iván Cantador, Jos&...